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Sensors 2018, 18(9), 3055; https://doi.org/10.3390/s18093055

Magnetic Noise Prediction and Evaluation in Tunneling Magnetoresistance Sensors

1
Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
2
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland
*
Author to whom correspondence should be addressed.
Received: 14 August 2018 / Revised: 5 September 2018 / Accepted: 10 September 2018 / Published: 12 September 2018
(This article belongs to the Section Physical Sensors)
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Abstract

We propose a simple model for prediction of magnetic noise level in tunneling magnetoresistance (TMR) sensors. The model reproduces experimental magnetic 1/f and white noise components, which are dependent on sensors resistance and field sensitivity. The exact character of this dependence is determined by comparing the results with experimental data using a statistical cross-validation procedure. We show that the model is able to correctly predict magnetic noise level for systems within wide range of resistance, volume and sensitivity, and that it can be used as a robust method for noise evaluation in TMR sensors based on a small number of easily measurable parameters only. View Full-Text
Keywords: magnetic field sensing; tunneling magnetoresistance devices; noise modeling; 1/f noise; white noise magnetic field sensing; tunneling magnetoresistance devices; noise modeling; 1/f noise; white noise
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Chęciński, J.; Wiśniowski, P.; Frankowski, M.; Stobiecki, T. Magnetic Noise Prediction and Evaluation in Tunneling Magnetoresistance Sensors. Sensors 2018, 18, 3055.

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